Process Digitization

Digital Transformation

Automate processes and eliminate repetitive manual work

Optimization and automation of business processes with technology: RPA (software bots), digital workflows, system integrations, paper elimination. 40-60% reduction in process times and freeing of human capacity for strategic work.

50+digitized processes
40-60%time reduction
Typical ROI 200-400% first year

Digitization: from manual to digital and automated

1

Map current process

We understand how it works today (as-is)

2

Optimize by eliminating unnecessary steps

We redesign process (optimized to-be)

3

Digitize with appropriate technology

RPA, workflows, integrations

Golden rule

Don't digitize bad process. First optimize (eliminate waste, simplify flow), then digitize. If you automate inefficiency, you'll have faster automated inefficiency without real value.

When is digitizing processes critical?

Time-consuming intensive manual processes

Teams dedicating 20-40% of time on repetitive manual tasks: copying data between systems, manually generating reports, processing paper forms.

Repetitive work with same pattern always

Processes executed dozens or hundreds of times with same flow: invoice processing, approvals, validations, document generation.

Systems that don't communicate with each other

Data trapped in silos. People manually copying information between systems (CRM → ERP → Accounting). High error risk.

Approvals that take days due to waits

Processes trapped in email inboxes waiting for approval. 30-minute task that takes 5 days due to waits.

Paper processes that must be eliminated

Physical forms, files in folders, documents that get lost. Need for digital traceability and remote access.

Need to scale without hiring proportionally

Business growing but you can't hire 10 more people. Automation allows processing 2-3X volume with same team.

4 technologies according to process type

RPA (Robotic Process Automation)

Typical ROI: 200-400% first year
What is it?

Software bots that mimic human actions: open applications, copy data, type, click, read documents.

When to use it?

Repetitive tasks in multiple systems without APIs, legacy systems that can't be integrated, processes with clear and predictable rules.

Tools:

UiPath, Power Automate, Automation Anywhere, Blue Prism

Example:

Bot that extracts data from PDF invoices, enters them in accounting system, and sends confirmation email. No human intervention.

Digital Workflows

Typical ROI: 150-300% first year
What is it?

Approval flows and automated tasks where system moves work between people according to business rules.

When to use it?

Approval processes, sequential tasks between departments, requests requiring structured human intervention.

Tools:

Power Automate, Nintex, K2, Monday.com workflows

Example:

Purchase request that automatically routes to appropriate manager according to amount, if approved goes to finance, if rejected returns to requester. Automatic notifications.

API Integrations

Typical ROI: 250-500% (more sustainable than RPA)
What is it?

Direct connections between systems for automatic data synchronization without human intervention.

When to use it?

Permanent solution between modern applications with APIs, high transaction volume, need for real-time.

Tools:

Native APIs, Zapier, Make (Integromat), MuleSoft, Dell Boomi

Example:

E-commerce sale automatically creates order in ERP, updates inventory, generates invoice in accounting system. Everything in real-time.

OCR + AI (Intelligent Automation)

Typical ROI: 300-800% (eliminates very manual work)
What is it?

Optical character recognition + artificial intelligence to extract and classify information from documents.

When to use it?

Process invoices/receipts/contracts on paper or PDF, automatically classify documents, extract unstructured data.

Tools:

Azure Form Recognizer, Google Cloud Vision, ABBYY, UiPath Document Understanding

Example:

System that receives 500 PDF invoices, automatically extracts vendor/amount/date, classifies by type, and enters in accounting. 95%+ accuracy.

How we digitize your processes

IDENTIFICATION AND PRIORITIZATION

1-2 weeks

Identification of automatable processes, Calculation of hours/year consumed per process, Technical complexity estimation, Preliminary ROI per process, Prioritization (impact vs effort matrix)

Prioritized list of processes to digitize + projected ROI

PRE-AUTOMATION OPTIMIZATION

1-2 weeks
⚠️ Critical: Don't automate before optimizing

Detailed mapping of current process (as-is), Identification of waste and unnecessary steps, Optimized process redesign (to-be), Validation of optimized process with stakeholders

Optimized process ready to automate

AUTOMATION DEVELOPMENT

2-6 weeks

Development of RPA bot or digital workflow, Integration configuration, Exhaustive testing with real cases, Adjustments based on tests, Technical documentation

Automation working in test environment

IMPLEMENTATION AND TRAINING

1-2 weeks

Deployment in production environment, End-user training, Intensive monitoring first days, Adjustments according to operational feedback

Automated process operating in production

MONITORING AND OPTIMIZATION

Ongoing

Bot/process metrics dashboard, Error and exception monitoring, Incremental optimizations, Continuous technical support (3-6 months)

Stable process + performance metrics

DURATION PER PROCESS: 4-10 weeks depending on complexity

What's included

Analysis and Optimization

  • Identification of automatable processes
  • ROI calculation per process
  • Process optimization before automating
  • Technical solution design

Development and Implementation

  • Development of RPA bots or workflows
  • Integration configuration
  • Exhaustive testing
  • Production deployment
  • Technical documentation

Training

  • End-user training
  • IT team training (maintenance)
  • User manuals
  • Tutorial videos

Monitoring and Support

  • Monitoring dashboard
  • Automatic error alerts
  • 3-6 months support included
  • Adjustments and optimizations

Benefits

40-60%

Reduction in process execution time

95%+

Elimination of manual errors

30-40%

Human capacity freed for strategic work

24/7

Availability without overtime cost

200-400%

Typical first year ROI

4-10

weeks Implementation per process

Top 10 processes with highest automation ROI

Invoice processing

Receive, validate, approve and enter invoices in accounting. High volume, clear rules.

Client/employee onboarding

Collect data, create accounts, send access, training. Multiple systems.

Bank reconciliations

Cross bank transactions with accounting records. Tedious manual work.

Report generation

Extract data from multiple sources, consolidate, format, distribute. Daily/weekly.

Purchase order processing

Receive request, validate budget, approve, create PO, send to supplier.

Inventory updates

Synchronize inventory between stores, e-commerce, warehouse. Critical for retail.

Request processing (credits, claims)

High volume, system validations, rule-based decisions.

Expense approvals

Validate receipts, verify policy, approve according to hierarchy, reimburse.

Data migration between systems

When implementing new system, migrate thousands of records from old system.

Simple request handling

Chatbots that resolve frequent questions or execute simple actions (reset password, check balance).

Frequently Asked Questions

We prioritize by ROI: (Annual savings - Automation cost) / Automation cost. Factors: (1) Volume: Processes executed 50+ times/month have higher ROI. (2) Time consumed: Processes taking 10+ hours/week from team. (3) Technical complexity: Simple processes with clear rules automate faster. (4) Errors: Processes with high human error rate. (5) Business impact: Critical bottlenecks. Impact vs effort matrix identifies quick wins.

Well-designed automations are resilient to minor changes. Significant changes require adjustments (similar to training employee when process changes). We include post-implementation support for adjustments at no cost. Typical annual maintenance: 10-15% initial cost (much lower than cost of people executing manually). Very unstable processes (change weekly) should NOT be automated until stabilized.

RPA is quick tactical solution (weeks) when native integration isn't viable: legacy systems without APIs, prohibitive integration cost/time, temporary solution while migrating to new system. API integration is permanent strategic solution (months) when: high transactional volume, critical real-time, modern applications with APIs, long-term solution. We frequently combine: RPA for immediate quick wins, then API integrations for sustainable solution.

Very secure if implemented correctly: (1) Dedicated credentials: Bot has own credentials with minimum necessary permissions, doesn't share human passwords. (2) Traceability: All bot activity is recorded in auditable logs. (3) Encryption: Sensitive data encrypted in transit and at rest. (4) Compliance: We design automations aligned to ISO 27001, SOC 2, regulations. In fact, bots are frequently MORE secure than humans: they don't make errors, follow procedures exactly, everything is auditable.

Yes, RPA is ideal precisely for that. RPA doesn't require modifying existing systems or access to code/database; bot interacts with user interface as person would. We've successfully automated in: 80s mainframes, AS/400 systems, old client-server applications, proprietary systems without APIs, old desktop applications. If person can do it manually, bot can do it automated.

Avoid automating: (1) Processes with complex judgment: Decisions requiring intuition, empathy, negotiation. (2) Highly unstable processes: Change every week, automation requires constant adjustments. (3) Processes with >30% exceptions: If majority of cases are "special", automation isn't efficient. (4) Poorly designed processes: First optimize, then automate. (5) Regulated processes without clear traceability: Where manual audit is critical. During evaluation we identify what must be optimized before automating and what is good candidate.

Ready to digitize and automate processes?

30-minute evaluation. We identify processes with greatest automation potential and calculate preliminary ROI.

Identification of automatable processes
Estimation of hours/year freeable
Preliminary ROI calculation
Recommendation of appropriate technology
Automation proposal